AIML Engineer L2

AI/ML Engineer – L2 (Senior Level)Location: Chennai – AmbatturJob Type: Full-time | Permanent | On-siteCompany: NexXora Inc.About NexXora Inc.Company DescriptionNexXora Inc. specializes in the design, development, and manufacturing of cutting-edgemedical products leveraging AI technologies. The company also offers solutionsin drone applications, virtual and augmented reality, metaverse innovations,and robotics. NexXora Inc. provides expertise in software development, cloudautomation, and information technology services while supporting industriessuch as healthcare, aviation, automotive, and more. They are committed todelivering innovative, technology-driven solutions to clients globally, with astrong focus on transformative technologies like AI, SAP, and advanced softwareengineering.Role OverviewWe are looking for an experienced AI/ML Engineer – L2 (Senior Level) to design, develop, and deploy scalable machine learning and generative AI solutions. The ideal candidate will have hands-on experience building production-grade AI systems, working with RAG-based architectures, and deploying models in cloud and containerized environments.This is an on-site role based in Chennai (Ambattur) and involves close collaboration with cross-functional teams to deliver high-impact AI solutions.Key Responsibilities- Design, develop, and optimize AI/ML solutions as a Machine Learning, Deep Learning, or Generative AI Engineer - Build and manage end-to-end machine learning pipelines using Python and industry-standard frameworks - Develop and integrate RAG-based applications using LangChain - Deploy, monitor, and maintain AI/ML models on cloud platforms - Containerize applications using Docker for scalable deployments - Collaborate with product, engineering, and business teams to deliver robust AI solutions - Optimize models for performance, scalability, reliability, and production readiness️ Skills & Qualifications Core Domains- Machine Learning / Deep Learning / Generative AIFrameworks & Libraries- PyTorch or TensorFlow / Keras - RAG-based architectures, LangChainProgramming- PythonData Engineering- Pandas, NumPyData Visualization (Any One)- Matplotlib, Seaborn, Power BI, TableauComputer Vision (Any One)- OpenCV, torchvision, YOLOORNatural Language Processing (NLP)- spaCy, NLTKMathematical Foundations- Linear Algebra, ProbabilityDevelopment Tools- Jupyter Notebook, VS Code, PyCharm, Google ColabVersion Control- GitDatabases (Any One)- MySQL, PostgreSQL, MongoDBCloud & MLOps (Any One)- AWS / GCP / AzureCloud Services (Any One):- AWS: S3, RDS, SageMaker, ECS, EC2, EMR, Glue, Lambda - GCP: GCS, GKE, Dataflow, BigQuery, Vertex AI - Azure: ADLS, AKS, Synapse, Azure MLContainerization- Docker⭐ Added Advantage (Nice to Have)- Snowflake - PySpark / DatabricksExperience Required- 5–6 years of relevant experience in AI/ML engineeringEducation- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field

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